Fragmented records
Without a shared standard, the same clinical information was recorded in different ways across systems.
Mawasqat: Disease and Clinical Data Standardisation Framework
Clinical data that connects.
A structured framework aligning disease classification, clinical workflows, medicines and laboratory data.
82K+clinical features
1,300+diseases
3,000+subgroups
The Challenge
What stood in the way.
Healthcare systems used inconsistent disease and clinical data standards. That left records fragmented, made diagnosis mapping difficult and weakened interoperability between systems.
Difficult diagnosis mapping
Mapping diagnoses from one system to another was hard when each used its own classification.
Weak interoperability
Inconsistent standards made it difficult for systems to exchange clinical data and interpret it correctly.
Our Solution
How we answered it.
We created a research-based, standardised framework that brings disease classification, clinical workflows, medicines and laboratory data into one structured model. Each part of the framework is designed to connect to the others, so a disease links to its symptoms
- ProblemInconsistent standards produced fragmented records.Our answerWe built one structured model that aligns disease classification, clinical workflows, medicines and laboratory data.
- ProblemDiagnosis mapping was difficult across systems.Our answerWe mapped symptoms to diseases and added a clinical coding framework to make diagnoses consistent.
- ProblemWeak interoperability limited how clinical data could be reused.Our answerWe standardised clinical data, medication standards and laboratory parameters so systems can interpret records in the same way.
How It Works
The parts that made the difference.
Disease classification
A structured classification of diseases gives every condition a consistent place in the model.
Clinical data standardisation
Clinical data is described using one standard, so records from different sources line up.
Symptom mapping
Symptoms are mapped to diseases, making the link between presentation and diagnosis explicit.
Medication standards
Medicines are described to a common standard within the model.
Results
What changed for the client.
The framework gives Mawasqat a broad, structured foundation for clinical data.
- 1,300+ diseases classified
- 149+ specialist departments covered
- 3,000+ clinical subgroups
- 82,334+ mapped clinical features
- Improved interoperability between systems
- Foundations for AI-driven analytics and clinical decision support
Part of our AI and machine learning work.
Let’s Talk
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
- Share your ideaSend the form or book a call, whichever suits you.
- Discovery callWe talk through your goals, timeline and scope.
- A clear proposalA fixed price or monthly rate before any work begins.
- info@technomous.com
- Phone
- +92 333 0440459
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